The mixed reality of things: emerging challenges for human-information interaction

Ryan P. Spicer; Stephen M. Russell; Evan Suma Rosenberg

doi:10.1117/12.2268004

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3 May 2017 The mixed reality of things: emerging challenges for human-information interaction

Ryan P. Spicer, Stephen M. Russell, Evan Suma Rosenberg

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Proceedings Volume 10207, Next-Generation Analyst V; 102070A (2017) https://doi.org/10.1117/12.2268004
Event: SPIE Defense + Security, 2017, Anaheim, California, United States

Abstract

Virtual and mixed reality technology has advanced tremendously over the past several years. This nascent medium has the potential to transform how people communicate over distance, train for unfamiliar tasks, operate in challenging environments, and how they visualize, interact, and make decisions based on complex data. At the same time, the marketplace has experienced a proliferation of network-connected devices and generalized sensors that are becoming increasingly accessible and ubiquitous. As the Internet of Things" expands to encompass a predicted 50 billion connected devices by 2020, the volume and complexity of information generated in pervasive and virtualized environments will continue to grow exponentially. The convergence of these trends demands a theoretically grounded research agenda that can address emerging challenges for human-information interaction (HII). Virtual and mixed reality environments can provide controlled settings where HII phenomena can be observed and measured, new theories developed, and novel algorithms and interaction techniques evaluated. In this paper, we describe the intersection of pervasive computing with virtual and mixed reality, identify current research gaps and opportunities to advance the fundamental understanding of HII, and discuss implications for the design and development of cyber-human systems for both military and civilian use.

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Ryan P. Spicer, Stephen M. Russell, and Evan Suma Rosenberg "The mixed reality of things: emerging challenges for human-information interaction", Proc. SPIE 10207, Next-Generation Analyst V, 102070A (3 May 2017); https://doi.org/10.1117/12.2268004

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